Belden (BDC) Interest Expenses (2009 - 2015)
Belden (BDC) posted Interest Expenses of $23.93 million for Q1 2015, up 27.1% from $18.82 million a year earlier and up 1.9% from the prior quarter.
Belden (BDC) Interest Expenses (2009 - 2015) Analysis & Trends
For the trailing twelve months through Mar 29, 2015, Interest Expenses at Belden was $87.26 million, up 14.8% year-over-year; for FY2014, it came in at $82.16 million, up 12.4% from FY2013.
- Annual Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 14.4% (FY2009 to FY2014).
- In prior years, Belden's Interest Expenses was $73.1 million in FY2013 (+40.5%), $52.04 million in FY2012 (+8.1%), $48.12 million in FY2011 (-3.4%) and $49.82 million in FY2010 (+18.7%).
- The Q1 2015 figure stands as the highest quarterly Interest Expenses in data going back to Q2 2009.
- On a year-over-year basis, Interest Expenses has increased in each of the last three quarters, with growth averaging 25.6% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2010, with growth of 59.5%; the weakest was Q4 2010, with a decline of 17.1%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $23.48 million (Q4 2014), $21.66 million (Q3 2014) and $18.2 million (Q2 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | - |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Belden | 4.29 Bn | 2.96 Bn | 293.62 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2015 | 23.93 Mn |
| Dec 31, 2014 | 23.48 Mn |
| Sep 28, 2014 | 21.66 Mn |
| Jun 29, 2014 | 18.20 Mn |
| Mar 30, 2014 | 18.82 Mn |
| Dec 31, 2013 | 19.59 Mn |
| Sep 29, 2013 | 19.26 Mn |
| Jun 30, 2013 | 18.35 Mn |
| Mar 31, 2013 | 15.91 Mn |
| Dec 31, 2012 | 13.73 Mn |
| Sep 30, 2012 | 13.89 Mn |
| Jul 1, 2012 | 12.50 Mn |
| Apr 1, 2012 | 11.92 Mn |
| Dec 31, 2011 | 11.87 Mn |
| Oct 2, 2011 | 11.69 Mn |
| Jul 3, 2011 | 12.75 Mn |
| Apr 3, 2011 | 11.81 Mn |
| Dec 31, 2010 | 10.91 Mn |
| Oct 3, 2010 | 11.78 Mn |
| Jul 4, 2010 | 14.19 Mn |
Belden Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=interest-expenses&ticker=BDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "BDC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=BDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();